Claude Code plugins
301 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 301 plugins that match these filters.
301 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 301 plugins that match these filters.
Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceShared delivery practices for human–AI teams: planning, tickets, model selection, testing, independent review and release readiness. Install for a project or user; adopt project-owned authority and checks.
Legacy name of devex-charter, kept so pre-0.5.0 install commands keep working. Same plugin; install devex-charter, not both.
Comprehensive guide and tools for writing frontend tests. 55 best practices, specialized agents for planning, analysis, verification, and healing.
Drop-in ADR toolkit for AI coding agents: bootstrap and audit with /adr-kit:init, guided authoring with /adr-kit:adr, pre-commit and CI enforcement with file:line citations, context injection over a generated graph index, Guardian staleness detection, lifecycle commands, strict lint, adr-doctor, and a key-free MCP server.
Optional local Claude Ads workbench for runs, evidence, inputs, comparison and report receipts. Enabled separately.
Skills, rules, hooks, agents and output styles for Claude Code: test-gated landing for parallel agent work, framework knowledge with staleness verifiers, and security checks aimed at the agent itself
Spec-driven development and context engineering for AI coding agents, backed by project context in Git.
Skills, hooks, templates, and engineering guides for bootstrapping AI-agent-friendly projects, with a per-project self-improvement loop. Bundles the /new-project and /adopt-project scaffolding skills plus commit, simplify, reflect, remember, and dream.
scaffoldingFootball data analytics toolkit. Covers football provider docs, identity surfaces, and analytics workflows including Opta, StatsBomb, Wyscout, SportMonks, soccerdata, mplsoccer, databallpy, and free sources. Acquire, wrangle, compute, analyse, brainstorm visualisations, and review your work. Includes a searchable MCP docs server, Reep Register lookup routing, 11 skills, and 3 agents.
Routes each request to one of 27 specialist agent roles, which load only the skills the work needs and verify what they claim.
A股个股调研学习工具。覆盖基本信息、财务报告、行业产业链、估值/市场状态、机构分析师、情绪舆情、宏观政策七大维度,每条分析论述引用数据来源,区分事实陈述与分析判断。学习工具,非决策工具。
financeA股跳空缺口扫描。向上缺口 + MA60 上方 + 未回补,指数成分股池(沪深300+中证A500+科创50)。学习工具,非决策工具。
finance交易日志 v2。Claude 驱动四维评估(逻辑/盲点/仓位匹配/风险收益)+ 数据引擎;ETF 路径调用 invest-a-etf 共用模块。学习工具,非决策工具。
financeA股 ETF 结构化研究。指数估值/折溢价/份额与规模口径/跟踪质量/对冲覆盖,按研究问题核验所选披露持仓的经营证据与行业传导,产出带来源追溯和判断边界的研究备忘录。学习工具,非决策工具。
financeA股市场情绪脉搏。杠杆周期/市场广度/极端情绪/资金面/估值温度 + 综合环境标签 + 交叉维度分析。研究工具,非择时工具。
finance港股数据引入与初步分析。腾讯 r_hk 快照 / 腾讯 qfq K 线 / 东财港股财务 / 百度估值历史序列,附港股风险层。研究工具,非决策工具。
finance低估发现扫描 — 多透镜粗筛(L1 横截面便宜 + L3 定价-盈利 gap + 质量中过滤)→ 研究观察短清单。阈值预注册,含降级清单。研究信号,非决策。
financeAI agent orchestration: agent messaging (AMP), identity (AID), canvas pages, memory, docs and code graph search, agent management and planning
CLI toolbox for Observability-Driven Development (ODD): coding agents observe local runs on an OpenTelemetry/Grafana stack - or remote ones on any OpenTelemetry backend - and feed the next spec-driven improvement loop.
observabilityYour coding agent already plans and swarms — Wicked Garden is the curated toolkit for what it can't: proof-not-claims gates, code links grep can't see, deterministic refactor, cross-session memory, multi-model second opinions (fallback seats labelled). Don't fight the harness; fill its gaps. The gate needs wicked-vault (a self-contained infra peer, installed directly) and re-derives through garden's built-in engine; estate/bus are opt-in layers (wicked-testing and wicked-brain are retired — QE ships in-catalog as the qe domain, memory lives in wicked-estate).